Cloud Data Platform Lead - Banking (Databricks on AWS)

ITTConnect

Miami (FL)

Hybrid

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

ITTConnect is seeking a Data Intelligence Platform Lead for a direct-hire, full-time role in a hybrid setting in Miami. The candidate will lead a 10-person team to modernize the bank's data platform from on-prem to a cloud-native stack on AWS, Databricks, and PySpark, aligning architecture, governance, and AI initiatives.

The role requires strong hands-on leadership across data governance, data quality, and platform operations while coordinating with security, compliance, and business

Qualifications

  • 15+ years of IT experience.
  • Experience leading data platform, data engineering, analytics engineering, or data architecture in complex environments.
  • Hands-on with Databricks, AWS data services, SQL Server, Airflow, dbt, data ingestion patterns, orchestration, monitoring, and platform operations.
  • Ability to translate governance, quality, metadata, lineage, access control, and observability into engineering standards.
  • Experience migrating or modernizing from on-prem to cloud-based architectures.

Responsibilities

  • Lead cloud data platform development and migration on AWS and Databricks.
  • Define target-state ingestion, orchestration, processing, monitoring, security, and lifecycle for Databricks ecosystem.
  • Oversee migration of on-prem data pipelines to governed, scalable data products.
  • Coordinate DataSecOps practices for end-to-end monitoring and reliability.
  • Drive AI governance, risk management, and identification of value-added AI initiatives.

Skills

Data platform leadership
Data engineering
Analytics engineering
Regulatory/compliance awareness
Cross-functional collaboration
Cloud migration strategy

Tools

Databricks
AWS
SQL Server
Airflow
dbt
Unity Catalog
CI/CD pipelines

Job description

ITTConnect is seeking a Data Intelligence Platform Lead for a direct-hire, full-time role in a hybrid setting in Miami. The candidate will lead a 10-person team to modernize the bank's data platform from on-prem to a cloud-native stack on AWS, Databricks, and PySpark, aligning architecture, governance, and AI initiatives.

The role requires strong hands-on leadership across data governance, data quality, and platform operations while coordinating with security, compliance, and business

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